SysAgria
AGRINTELLIGENCE, ADAPTED TO THE EUROPEAN AGRICULTURE
software application and a wide range of sensors for multiple crops.
AGRIEFFICIENCY IN
OPTICAL PARAMETERS
and the pH of the soil at different depths, helping to establish
the optimum rotation of the crops and the opportune time of
sowing
forecasted time, helping to optimize the sowing and harvesting
plan. It contributes to the health of the crop by alerting about
fulfilling the conducive conditions for the occurrence of disease
and pests specific to each culture
factors such as soil favorability in the cultivated region,
the available macronutrients in the soil and the level
of precipitations and recorded temperature during the crops
phenophases
DIRECT FROM
YOUR MOBILE
PHONE
The SysAgria app can turn iOS or Android mobile devices into true control
centers for managing extended crops an greenhouses.
Real-time monitoring of all sensor data, device status, and historical data
from the moment of installation
Configurable for any type of culture, including multicultural monitoring
for one or more users
E-mail and WhatsApp warning alerts on the occurrence of the disease
risk, correlating parameters recorder with the phenological stage and
the level of the culture's favorability
Multidimensional reports and analyzes of the evolution of the parameters
Isometric maps created by interpolating the recorded data of precipitations,
humidity, temperature, and other relevant parameters
Operating of the automated installation, based on the data provided
by the sensors and the settings established for each type of crop and
phenological stage
https://demo.sysagria.ro
Wind speed
Precipitations
Solar radiation
Wind direction
Temperature
Evapotranspiration
Relative humidity
Atmospheric pressure
pH
Soil temperature/humidity
Electroconductivity
Snow layer
MEASURED PARAMETERS
Over 25.000 ha, a single integrated network
Interpolated map for temperature and
precipitations
Real-time data and weather forecast of the
microclimate
Warning of risk disease and pests
Production estimation for different crops
Antivandal alert and GPS tracking for at least 48
hours
THE BENEFITS OF
AN EXTENSIVE
NETWORK OF AIR AND
SOIL MONITORED
PARAMETERS
the area microclimate and correlating their evolution with the
occurrence of the disease risk in different phenological stages of
the crop.
Based on the historical analysis of these identified models, using
data mining and big data analytics algorithm can be created
highly accurate predictive models generating warnings and
recommendations for treatments and fertilization.
REAL-TIME PRECIPITATIONS MAP BY DATA INTERPOLATION
AGRIOPTIMIZATION
THROUGH
TECHNOLOGY
VERSATILE
PRODUCT THAT
CAN INTEGRATE
COMPLEMENTARY
SYSTEMS
ALONGSIDE EVERY EUROPEAN FARMER
Measured parameters by continuous sampling at different
heights and depths: temperature, humidity, wind direction
and speed, atmospheric pressure, evapotranspiration, leaf
temperature and humidity, soil temperature and humidity,
pH and electroconductivity
Energy independent solution with an energy supply of over 20
days in the absence of the solar panel
Industrial fence for anti-vandal and weather protection
GPS tracking for at least 48 hours after the first movement alert
Automated control solutions and greenhouse control
for irrigation, fertilization, ventilation, cooling/heating
humidification/dehumidification, closing/opening of the
greenhouse sides and harvesting systems
Irrigation system for large crops, fruit trees, vine
Fertirrigating facilities
Ventilation, dehumidification, lighting or fire-fighting systems
Technical assistance and national support
Remotely software update
Field intervention
Customized reports and alerts
Integration with existing systems and applications
+20
+10
+20 days
+25 km
sensors
crops
energy reserve
distance between
two stations
H2020 RESEARCH &
INNOVATION PROJECT
CERTIFICATIONS
SmartCity and Precision Agriculture.
We intend to launch the SYSAGRIA solution at the European level following the award of H2020-EMS-1-876635,
Phase I.
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No SMEINST-876635.
